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Charge-offs, Defaults and U.S. Business Cycles

Author

Listed:
  • Christopher M. Gunn
  • Alok Johri
  • Marc-Andre Letendre
Abstract
We uncover a new fact: U.S. banks counter-cyclically vary the ratio of charge-offs to defaulted loans. The variance of this ratio is roughly 15 times larger than that of GDP. Canonical financial accelerator models cannot explain this variance. We show that introducing stochastic default costs into the model helps to resolve the discrepancy with the data. Estimating the augmented model using Bayesian techniques reveals that the estimated default cost shocks not only help account for the variance of the banking data but also help account for a significant fraction of the U.S. business cycle between 1984 and 2015.

Suggested Citation

  • Christopher M. Gunn & Alok Johri & Marc-Andre Letendre, 2019. "Charge-offs, Defaults and U.S. Business Cycles," Department of Economics Working Papers 2019-06, McMaster University.
    • Handle: RePEc:mcm:deptwp:2019-06
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Charge-offs and defaults; default cost shocks; financial accelerator models; business cycles.;
    All these keywords.

    JEL classification:

    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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